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   <div id="projectbrief">Generic and Reusable Parallel Pattern Interface</div>
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<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_b519bdaee6a7f8dbbe55c1237cf8f544.html">native</a></li>  </ul>
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<div class="title">parallel_execution_native.h</div>  </div>
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<a href="parallel__execution__native_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright 2018 Universidad Carlos III de Madrid</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * </span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * you may not use this file except in compliance with the License.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * You may obtain a copy of the License at</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * </span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     http://www.apache.org/licenses/LICENSE-2.0</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * </span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * Unless required by applicable law or agreed to in writing, software</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * See the License for the specific language governing permissions and</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * limitations under the License.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#ifndef GRPPI_NATIVE_PARALLEL_EXECUTION_NATIVE_H</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#define GRPPI_NATIVE_PARALLEL_EXECUTION_NATIVE_H</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="worker__pool_8h.html">worker_pool.h</a>&quot;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &quot;../common/mpmc_queue.h&quot;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &quot;../common/iterator.h&quot;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &quot;../common/execution_traits.h&quot;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &lt;thread&gt;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &lt;atomic&gt;</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &lt;experimental/optional&gt;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacegrppi.html">grppi</a> {</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160; </div>
<div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classgrppi_1_1thread__registry.html">   48</a></span>&#160;<span class="keyword">class </span><a class="code" href="classgrppi_1_1thread__registry.html">thread_registry</a> {</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classgrppi_1_1thread__registry.html#a104723128802754ecfa69995280bd56e">   50</a></span>&#160;  <a class="code" href="classgrppi_1_1thread__registry.html#a104723128802754ecfa69995280bd56e">thread_registry</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1thread__registry.html#a3c61f318e381df30a3d1bcd5a5f83f69">register_thread</a>() noexcept;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1thread__registry.html#a6998752c4b6f918c36e808a8a8d60112">deregister_thread</a>() noexcept;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160; </div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  <span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1thread__registry.html#a4fe2639e9ddc939d6ecfa9d2db99dfee">current_index</a>() const noexcept;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160; </div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;private:</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  mutable std::atomic_flag lock_ = ATOMIC_FLAG_INIT;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  std::vector&lt;std::thread::<span class="keywordtype">id</span>&gt; ids_{};</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;};</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160; </div>
<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classgrppi_1_1thread__registry.html#a3c61f318e381df30a3d1bcd5a5f83f69">   74</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1thread__registry.html#a3c61f318e381df30a3d1bcd5a5f83f69">thread_registry::register_thread</a>() noexcept </div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;{</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  <span class="keywordflow">while</span> (lock_.test_and_set(memory_order_acquire)) {}</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;  <span class="keyword">auto</span> this_id = this_thread::get_id();</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  ids_.push_back(this_id);</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;  lock_.clear(memory_order_release);</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;}</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160; </div>
<div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classgrppi_1_1thread__registry.html#a6998752c4b6f918c36e808a8a8d60112">   83</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1thread__registry.html#a6998752c4b6f918c36e808a8a8d60112">thread_registry::deregister_thread</a>() noexcept</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;{</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;  <span class="keywordflow">while</span> (lock_.test_and_set(memory_order_acquire)) {}</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  <span class="keyword">auto</span> this_id = this_thread::get_id();</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;  <span class="keyword">auto</span> current = find(begin(ids_), end(ids_), this_id);</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  *current = {}; <span class="comment">//Empty thread</span></div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  lock_.clear(memory_order_release);</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;}</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classgrppi_1_1thread__registry.html#a4fe2639e9ddc939d6ecfa9d2db99dfee">   93</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1thread__registry.html#a4fe2639e9ddc939d6ecfa9d2db99dfee">thread_registry::current_index</a>() const noexcept</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;{</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  <span class="keywordflow">while</span> (lock_.test_and_set(memory_order_acquire)) {}</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  <span class="keyword">auto</span> this_id = this_thread::get_id();</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="keyword">auto</span> current = find(begin(ids_), end(ids_), this_id);</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="keyword">auto</span> index = distance(begin(ids_), current);</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  lock_.clear(memory_order_release);</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keywordflow">return</span> index;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;}</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160; </div>
<div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classgrppi_1_1native__thread__manager.html">  110</a></span>&#160;<span class="keyword">class </span><a class="code" href="classgrppi_1_1native__thread__manager.html">native_thread_manager</a> {</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classgrppi_1_1native__thread__manager.html#a7f02489612c3bec56c829b3336c50fbe">  115</a></span>&#160;  <a class="code" href="classgrppi_1_1native__thread__manager.html#a7f02489612c3bec56c829b3336c50fbe">native_thread_manager</a>(<a class="code" href="classgrppi_1_1thread__registry.html">thread_registry</a> &amp; registry) </div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;      : registry_{registry}</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  { registry_.<a class="code" href="classgrppi_1_1thread__registry.html#a3c61f318e381df30a3d1bcd5a5f83f69">register_thread</a>(); }</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classgrppi_1_1native__thread__manager.html#a02e32d5528da8067d367e1596d690741">  122</a></span>&#160;  <a class="code" href="classgrppi_1_1native__thread__manager.html#a02e32d5528da8067d367e1596d690741">~native_thread_manager</a>() { </div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    registry_.<a class="code" href="classgrppi_1_1thread__registry.html#a6998752c4b6f918c36e808a8a8d60112">deregister_thread</a>(); </div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  }</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160; </div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  <a class="code" href="classgrppi_1_1thread__registry.html">thread_registry</a> &amp; registry_;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;};</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160; </div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html">  135</a></span>&#160;<span class="keyword">class </span><a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a> {</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160; </div>
<div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#ade8219a47138ed32dd2209097c6edb91">  148</a></span>&#160;  <a class="code" href="classgrppi_1_1parallel__execution__native.html#ade8219a47138ed32dd2209097c6edb91">parallel_execution_native</a>() noexcept :</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;      <a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a>{</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;          <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(2 * std::thread::hardware_concurrency()), </div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;          <span class="keyword">true</span>}</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  {}</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160; </div>
<div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a2b98f877a6e1273329b77e80f8c70d05">  162</a></span>&#160;  <a class="code" href="classgrppi_1_1parallel__execution__native.html#a2b98f877a6e1273329b77e80f8c70d05">parallel_execution_native</a>(<span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#aae3c5760c422c19a391ce1ddaa5e9f0b">concurrency_degree</a>, <span class="keywordtype">bool</span> ordering=<span class="keyword">true</span>) noexcept :</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    concurrency_degree_{<a class="code" href="classgrppi_1_1parallel__execution__native.html#aae3c5760c422c19a391ce1ddaa5e9f0b">concurrency_degree</a>},</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    ordering_{ordering}</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  {}</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160; </div>
<div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a4637a785a2061321e68345514c31ca1c">  167</a></span>&#160;  <a class="code" href="classgrppi_1_1parallel__execution__native.html#a4637a785a2061321e68345514c31ca1c">parallel_execution_native</a>(<span class="keyword">const</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a> &amp; ex) :</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;      <a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a>{ex.concurrency_degree_, ex.ordering_}</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  {}</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160; </div>
<div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a19ab3a76eaf5ff20e005e4c231de5668">  174</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a19ab3a76eaf5ff20e005e4c231de5668">set_concurrency_degree</a>(<span class="keywordtype">int</span> degree) noexcept { concurrency_degree_ = degree; }</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160; </div>
<div class="line"><a name="l00179"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#aae3c5760c422c19a391ce1ddaa5e9f0b">  179</a></span>&#160;  <span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#aae3c5760c422c19a391ce1ddaa5e9f0b">concurrency_degree</a>() const noexcept { <span class="keywordflow">return</span> concurrency_degree_; }</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160; </div>
<div class="line"><a name="l00184"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#ac71cfba0f7349d3ccfa4ffd0133a7298">  184</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#ac71cfba0f7349d3ccfa4ffd0133a7298">enable_ordering</a>() noexcept { ordering_=<span class="keyword">true</span>; }</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160; </div>
<div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a5d64864ad9a1712b2528c0d424fd7ae4">  189</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a5d64864ad9a1712b2528c0d424fd7ae4">disable_ordering</a>() noexcept { ordering_=<span class="keyword">false</span>; }</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160; </div>
<div class="line"><a name="l00194"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a865f895d5f3e10b6f0cfa55f197c109b">  194</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a865f895d5f3e10b6f0cfa55f197c109b">is_ordered</a>() const noexcept { <span class="keywordflow">return</span> ordering_; }</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160; </div>
<div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">  200</a></span>&#160;  <a class="code" href="classgrppi_1_1native__thread__manager.html">native_thread_manager</a> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>()<span class="keyword"> const </span>{ </div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classgrppi_1_1native__thread__manager.html">native_thread_manager</a>{thread_registry_}; </div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  }</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160; </div>
<div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a969c78379311aa8678df7eaac0ae33b6">  208</a></span>&#160;  <span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a969c78379311aa8678df7eaac0ae33b6">get_thread_id</a>() const noexcept {</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <span class="keywordflow">return</span> thread_registry_.<a class="code" href="classgrppi_1_1thread__registry.html#a4fe2639e9ddc939d6ecfa9d2db99dfee">current_index</a>();</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  }</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  </div>
<div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a2d8ff67ca30e0fa19ad0c9365a59ff02">  215</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a2d8ff67ca30e0fa19ad0c9365a59ff02">set_queue_attributes</a>(<span class="keywordtype">int</span> size, <a class="code" href="namespacegrppi.html#aa0514650a765d4853343655e7588662b">queue_mode</a> mode) noexcept {</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    queue_size_ = size;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    queue_mode_ = mode;</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  }</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160; </div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a10880dd9d49d864e7f444c86ac4a46cf">  227</a></span>&#160;  <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a10880dd9d49d864e7f444c86ac4a46cf">make_queue</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keywordflow">return</span> {queue_size_, queue_mode_};</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;  }</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  </div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> ... Transformers&gt;</div>
<div class="line"><a name="l00240"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">  240</a></span>&#160;  <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a>&amp; <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; queue, Transformers &amp;&amp; ...)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <span class="keywordflow">return</span> queue;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  }</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160; </div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> ... Transformers&gt;</div>
<div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a96fc47e584768cbbb68ce937b8bbc149">  252</a></span>&#160;  <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a96fc47e584768cbbb68ce937b8bbc149">get_output_queue</a>(Transformers &amp;&amp; ...)<span class="keyword"> const</span>{</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keywordflow">return</span> std::move(make_queue&lt;T&gt;());</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160; </div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator, </div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;            <span class="keyword">typename</span> Transformer&gt;</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8db778ce00ec067865a95be462f3243b">map</a>(std::tuple&lt;InputIterators...&gt; firsts,</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;      OutputIterator first_out, </div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;      std::size_t sequence_size, Transformer transform_op) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160; </div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> InputIterator, <span class="keyword">typename</span> Identity, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#ac3a2ba53ec25de0e0df32c5ae2bda381">reduce</a>(InputIterator first, std::size_t sequence_size, </div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;              Identity &amp;&amp; identity, Combiner &amp;&amp; combine_op) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160; </div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> Identity, </div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;            <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a2176d672f3a4ccc084733bfd07e8b871">map_reduce</a>(std::tuple&lt;InputIterators...&gt; firsts, </div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;                  std::size_t sequence_size,</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;                  Identity &amp;&amp; identity,</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;                  Transformer &amp;&amp; transform_op, Combiner &amp;&amp; combine_op) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160; </div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator,</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;            <span class="keyword">typename</span> StencilTransformer, <span class="keyword">typename</span> Neighbourhood&gt;</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#ad2664e02c85c147716a0028db3617ce7">stencil</a>(std::tuple&lt;InputIterators...&gt; firsts, OutputIterator first_out,</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;               std::size_t sequence_size,</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;               StencilTransformer &amp;&amp; transform_op,</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;               Neighbourhood &amp;&amp; neighbour_op) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160; </div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;  [[deprecated(<span class="stringliteral">&quot;Use new interface with predicate argument&quot;</span>)]]</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(Input &amp;&amp; input, </div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;                      Divider &amp;&amp; divide_op, </div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;                      Solver &amp;&amp; solve_op, </div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;                      Combiner &amp;&amp; combine_op) <span class="keyword">const</span>; </div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160; </div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(Input &amp;&amp; input,</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;                      Divider &amp;&amp; divide_op,</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;                      Predicate &amp;&amp; predicate_op,</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;                      Solver &amp;&amp; solve_op,</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                      Combiner &amp;&amp; combine_op) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160; </div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160; </div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160; </div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> ... Transformers&gt;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a01b4129dc5ffbabfcd568cd3908cd198">pipeline</a>(Generator &amp;&amp; generate_op, </div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;                Transformers &amp;&amp; ... transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160; </div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> InputType, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> OutputType&gt;</div>
<div class="line"><a name="l00400"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#aaf99699aa7bbcddca2b1b7176e641da6">  400</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#aaf99699aa7bbcddca2b1b7176e641da6">pipeline</a>(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;InputType&gt;</a> &amp; input_queue, Transformer &amp;&amp; transform_op,</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;                <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;OutputType&gt;</a> &amp;output_queue)<span class="keyword"> const</span></div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    do_pipeline(input_queue, std::forward&lt;Transformer&gt;(transform_op), output_queue);</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;  }</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160; </div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160; </div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(Input &amp;&amp; input, </div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;                      Divider &amp;&amp; divide_op, </div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;                      Solver &amp;&amp; solve_op, </div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;                      Combiner &amp;&amp; combine_op,</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;                      std::atomic&lt;int&gt; &amp; num_threads) <span class="keyword">const</span>; </div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160; </div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er,<span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(Input &amp;&amp; input,</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;                      Divider &amp;&amp; divide_op,</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;                      Predicate &amp;&amp; predicate_op,</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;                      Solver &amp;&amp; solve_op,</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;                      Combiner &amp;&amp; combine_op,</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;                      std::atomic&lt;int&gt; &amp; num_threads) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160; </div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160; </div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Consumer,</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;            <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Consumer&gt;</a> = 0&gt;</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Consumer &amp;&amp; consume_op) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160; </div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Inqueue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> output_type,</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;            <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Transformer&gt;</a> = 0&gt;</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Inqueue &amp; input_queue, Transformer &amp;&amp; transform_op, </div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;      <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;output_type&gt;</a> &amp; output_queue) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160; </div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> ... Others&gt;</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;  <span class="keywordtype">void</span> do_pipeline(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; in_q, <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; same_queue, Others &amp;&amp;... ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;   </div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;  <span class="keywordtype">void</span> do_pipeline(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp;)<span class="keyword"> const </span>{}</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160; </div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160; </div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;            requires_no_pattern&lt;Transformer&gt; = 0&gt;</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Transformer &amp;&amp; transform_op,</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;      OtherTransformers &amp;&amp; ... other_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160; </div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer,</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;      Farm&lt;FarmTransformer&gt; &amp; farm_obj)<span class="keyword"> const</span></div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    do_pipeline(input_queue, std::move(farm_obj));</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;  }</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160; </div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer,</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;  <span class="keywordtype">void</span> do_pipeline( Queue &amp; input_queue, </div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;      Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160; </div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Execution, <span class="keyword">typename</span> Transformer, </div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>, <span class="keyword">typename</span>&gt; <span class="keyword">class </span>Context,</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;            requires_context&lt;Context&lt;Execution,Transformer&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Context&lt;Execution,Transformer&gt; &amp;&amp; context_op, </div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;       OtherTransformers &amp;&amp;... other_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160; </div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Execution, <span class="keyword">typename</span> Transformer, </div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>, <span class="keyword">typename</span>&gt; <span class="keyword">class </span>Context,</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;            requires_context&lt;Context&lt;Execution,Transformer&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Context&lt;Execution,Transformer&gt; &amp; context_op, </div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;       OtherTransformers &amp;&amp;... other_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;    do_pipeline(input_queue, std::move(context_op),</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;      std::forward&lt;OtherTransformers&gt;(other_ops)...);</div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;  }</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160; </div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer, </div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;      Farm&lt;FarmTransformer&gt; &amp; farm_obj,</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;    do_pipeline(input_queue, std::move(farm_obj),</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;  }</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160; </div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer, </div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;      Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj,</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160; </div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate, </div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;            requires_filter&lt;Filter&lt;Predicate&gt;&gt; =0&gt;</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;      Filter&lt;Predicate&gt; &amp; filter_obj,</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;    do_pipeline(input_queue, std::move(filter_obj),</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;  }</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160; </div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate, </div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;            requires_filter&lt;Filter&lt;Predicate&gt;&gt; =0&gt;</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;      Filter&lt;Predicate&gt; &amp;&amp; farm_obj,</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160; </div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Combiner, <span class="keyword">typename</span> Identity,</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> C, <span class="keyword">typename</span> I&gt; <span class="keyword">class </span>Reduce,</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;            requires_reduce&lt;Reduce&lt;Combiner,Identity&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp;&amp; input_queue, Reduce&lt;Combiner,Identity&gt; &amp; reduce_obj,</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;    do_pipeline(input_queue, std::move(reduce_obj),</div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;  }</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160; </div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Combiner, <span class="keyword">typename</span> Identity,</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> C, <span class="keyword">typename</span> I&gt; <span class="keyword">class </span>Reduce,</div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;            requires_reduce&lt;Reduce&lt;Combiner,Identity&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp;&amp; input_queue, Reduce&lt;Combiner,Identity&gt; &amp;&amp; reduce_obj,</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160; </div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;            requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt; =0,</div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;            requires_no_pattern&lt;Transformer&gt; =0&gt;</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Iteration&lt;Transformer,Predicate&gt; &amp; iteration_obj,</div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    do_pipeline(input_queue, std::move(iteration_obj),</div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;  }</div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160; </div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;            requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt; =0,</div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;            requires_no_pattern&lt;Transformer&gt; =0&gt;</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160; </div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;            requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt; =0,</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;            requires_pipeline&lt;Transformer&gt; =0&gt;</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160; </div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160; </div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue,</div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;      Pipeline&lt;Transformers...&gt; &amp; pipeline_obj)<span class="keyword"> const</span></div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;    do_pipeline(input_queue, std::move(pipeline_obj));</div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;  }</div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160; </div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue,</div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;      Pipeline&lt;Transformers...&gt; &amp;&amp; pipeline_obj) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160; </div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue,</div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;      Pipeline&lt;Transformers...&gt; &amp; pipeline_obj,</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;    do_pipeline(input_queue, std::move(pipeline_obj),</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;  }</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160; </div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt; = 0&gt;</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue,</div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;      Pipeline&lt;Transformers...&gt; &amp;&amp; pipeline_obj,</div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160; </div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;            std::size_t ... I&gt;</div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;  <span class="keywordtype">void</span> do_pipeline_nested(</div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;      Queue &amp; input_queue, </div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;      std::tuple&lt;Transformers...&gt; &amp;&amp; transform_ops,</div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;      std::index_sequence&lt;I...&gt;) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160; </div>
<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;<span class="keyword">private</span>: </div>
<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;  <span class="keyword">mutable</span> thread_registry thread_registry_{};</div>
<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160; </div>
<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;  <span class="keywordtype">int</span> concurrency_degree_;</div>
<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;  <span class="keywordtype">bool</span> ordering_;</div>
<div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160; </div>
<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;  constexpr <span class="keyword">static</span> <span class="keywordtype">int</span> default_queue_size = 100;</div>
<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;  <span class="keywordtype">int</span> queue_size_ = default_queue_size;</div>
<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160; </div>
<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;  <a class="code" href="namespacegrppi.html#aa0514650a765d4853343655e7588662b">queue_mode</a> queue_mode_ = <a class="code" href="namespacegrppi.html#aa0514650a765d4853343655e7588662ba14343966a1d7dce7526e57cf2206d19d">queue_mode::blocking</a>;</div>
<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;};</div>
<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160; </div>
<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> E&gt;</div>
<div class="line"><a name="l00624"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a42fb74f9dece6623d7f01995d4adc5fe">  624</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a42fb74f9dece6623d7f01995d4adc5fe">is_parallel_execution_native</a>() {</div>
<div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;  <span class="keywordflow">return</span> std::is_same&lt;E, parallel_execution_native&gt;::value;</div>
<div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;}</div>
<div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160; </div>
<div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00633"></a><span class="lineno"><a class="line" href="namespacegrppi.html#ac0641c069b2aebeee3b0ac9ddd6c97ea">  633</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#ac0641c069b2aebeee3b0ac9ddd6c97ea">is_supported&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160; </div>
<div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00640"></a><span class="lineno"><a class="line" href="namespacegrppi.html#acef5be3b3e47ccebc79b3e51a40c38e7">  640</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#acef5be3b3e47ccebc79b3e51a40c38e7">supports_map&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160; </div>
<div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00647"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a0e0a4592d21e2809553b810d6d2704f1">  647</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a0e0a4592d21e2809553b810d6d2704f1">supports_reduce&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160; </div>
<div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00654"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a239c6c8ef8f854554308613a4ff88ed0">  654</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a239c6c8ef8f854554308613a4ff88ed0">supports_map_reduce&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160; </div>
<div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00661"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a71670a3d4221ca70a8e5e126ba5c01c9">  661</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a71670a3d4221ca70a8e5e126ba5c01c9">supports_stencil&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160; </div>
<div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00668"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a8b41b3b3e07dbd6dd7a3e587400da0aa">  668</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a8b41b3b3e07dbd6dd7a3e587400da0aa">supports_divide_conquer&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160; </div>
<div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00675"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a80bc4d209d73b130fc20e4afe91fa94b">  675</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a80bc4d209d73b130fc20e4afe91fa94b">supports_pipeline&lt;parallel_execution_native&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
<div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160; </div>
<div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator, </div>
<div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;          <span class="keyword">typename</span> Transformer&gt;</div>
<div class="line"><a name="l00679"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a8db778ce00ec067865a95be462f3243b">  679</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8db778ce00ec067865a95be462f3243b">parallel_execution_native::map</a>(</div>
<div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;    std::tuple&lt;InputIterators...&gt; firsts,</div>
<div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;    OutputIterator first_out, </div>
<div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;    std::size_t sequence_size, Transformer transform_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160; </div>
<div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;  <span class="keyword">auto</span> process_chunk =</div>
<div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;    [&amp;transform_op](<span class="keyword">auto</span> fins, std::size_t size, <span class="keyword">auto</span> fout)</div>
<div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;  {</div>
<div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> l = next(get&lt;0&gt;(fins), size);</div>
<div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;    <span class="keywordflow">while</span> (get&lt;0&gt;(fins)!=l) {</div>
<div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;      *fout++ = <a class="code" href="namespacegrppi.html#af7cfe906e20c5a128ecd135706d8a749">apply_deref_increment</a>(</div>
<div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;          std::forward&lt;Transformer&gt;(transform_op), fins);</div>
<div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;    }</div>
<div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;  };</div>
<div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160; </div>
<div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">int</span> chunk_size = sequence_size / concurrency_degree_;</div>
<div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;  </div>
<div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;  {</div>
<div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;    <a class="code" href="classgrppi_1_1worker__pool.html">worker_pool</a> workers{concurrency_degree_};</div>
<div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i!=concurrency_degree_-1; ++i) {</div>
<div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div>
<div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div>
<div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_first_out = next(first_out, delta);</div>
<div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;      workers.launch(*<span class="keyword">this</span>, process_chunk, chunk_firsts, chunk_size, chunk_first_out);</div>
<div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;    }</div>
<div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160; </div>
<div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_ - 1);</div>
<div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div>
<div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_first_out = next(first_out, delta);</div>
<div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;    process_chunk(chunk_firsts, sequence_size - delta, chunk_first_out);</div>
<div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;  } <span class="comment">// Pool synch</span></div>
<div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;}</div>
<div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160; </div>
<div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> InputIterator, <span class="keyword">typename</span> Identity, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00715"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#ac3a2ba53ec25de0e0df32c5ae2bda381">  715</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#ac3a2ba53ec25de0e0df32c5ae2bda381">parallel_execution_native::reduce</a>(</div>
<div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;    InputIterator first, std::size_t sequence_size,</div>
<div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;    Identity &amp;&amp; identity,</div>
<div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;    Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = std::decay_t&lt;Identity&gt;;</div>
<div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;  std::vector&lt;result_type&gt; partial_results(concurrency_degree_);</div>
<div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160; </div>
<div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div>
<div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;  <span class="keyword">auto</span> process_chunk = [&amp;](InputIterator f, std::size_t sz, std::size_t id) {</div>
<div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;    partial_results[id] = seq.<a class="code" href="classgrppi_1_1sequential__execution.html#a25482f650b1a92ba62420abcbfe653ee">reduce</a>(f,sz, std::forward&lt;Identity&gt;(identity), </div>
<div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;  };</div>
<div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160; </div>
<div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;  <span class="keyword">const</span> <span class="keyword">auto</span> chunk_size = sequence_size / concurrency_degree_;</div>
<div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160; </div>
<div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;  { </div>
<div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;    <a class="code" href="classgrppi_1_1worker__pool.html">worker_pool</a> workers{concurrency_degree_};</div>
<div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i&lt;concurrency_degree_-1; ++i) {</div>
<div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div>
<div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_first = std::next(first,delta);</div>
<div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;      workers.launch(*<span class="keyword">this</span>, process_chunk, chunk_first, chunk_size, i);</div>
<div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;    }</div>
<div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160; </div>
<div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_-1);</div>
<div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_first = std::next(first, delta);</div>
<div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_sz = sequence_size - delta;</div>
<div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;    process_chunk(chunk_first, chunk_sz, concurrency_degree_-1);</div>
<div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;  } <span class="comment">// Pool synch</span></div>
<div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160; </div>
<div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;  <span class="keywordflow">return</span> seq.reduce(std::next(partial_results.begin()), </div>
<div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;      partial_results.size()-1, std::forward&lt;result_type&gt;(partial_results[0]), </div>
<div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;      std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;}</div>
<div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160; </div>
<div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> Identity, </div>
<div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;          <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00752"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a2176d672f3a4ccc084733bfd07e8b871">  752</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a2176d672f3a4ccc084733bfd07e8b871">parallel_execution_native::map_reduce</a>(</div>
<div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;    std::tuple&lt;InputIterators...&gt; firsts, </div>
<div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;    std::size_t sequence_size,</div>
<div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;    Identity &amp;&amp;,</div>
<div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160;    Transformer &amp;&amp; transform_op, Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = std::decay_t&lt;Identity&gt;;</div>
<div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;  std::vector&lt;result_type&gt; partial_results(concurrency_degree_);</div>
<div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160; </div>
<div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div>
<div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;  <span class="keyword">auto</span> process_chunk = [&amp;](<span class="keyword">auto</span> f, std::size_t sz, std::size_t id) {</div>
<div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;    partial_results[id] = seq.<a class="code" href="classgrppi_1_1sequential__execution.html#a75a178df82f61ff9de6f885c27e722a0">map_reduce</a>(f, sz,</div>
<div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;        std::forward&lt;Identity&gt;(partial_results[<span class="keywordtype">id</span>]),</div>
<div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;        std::forward&lt;Transformer&gt;(transform_op),</div>
<div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;  };</div>
<div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160; </div>
<div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;  <span class="keyword">const</span> <span class="keyword">auto</span> chunk_size = sequence_size / concurrency_degree_;</div>
<div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160; </div>
<div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;  {</div>
<div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;    <a class="code" href="classgrppi_1_1worker__pool.html">worker_pool</a> workers{concurrency_degree_};</div>
<div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;concurrency_degree_-1;++i){    </div>
<div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div>
<div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div>
<div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;      workers.launch(*<span class="keyword">this</span>, process_chunk, chunk_firsts, chunk_size, i);</div>
<div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;    }</div>
<div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160; </div>
<div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_-1);</div>
<div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts, delta);</div>
<div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;    process_chunk(chunk_firsts, sequence_size - delta, concurrency_degree_-1);</div>
<div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;  } <span class="comment">// Pool synch</span></div>
<div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160; </div>
<div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;  <span class="keywordflow">return</span> seq.reduce(std::next(partial_results.begin()), </div>
<div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;     partial_results.size()-1, std::forward&lt;result_type&gt;(partial_results[0]),</div>
<div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;     std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;}</div>
<div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160; </div>
<div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator,</div>
<div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;          <span class="keyword">typename</span> StencilTransformer, <span class="keyword">typename</span> Neighbourhood&gt;</div>
<div class="line"><a name="l00791"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#ad2664e02c85c147716a0028db3617ce7">  791</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#ad2664e02c85c147716a0028db3617ce7">parallel_execution_native::stencil</a>(</div>
<div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;    std::tuple&lt;InputIterators...&gt; firsts, OutputIterator first_out,</div>
<div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;    std::size_t sequence_size,</div>
<div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;    StencilTransformer &amp;&amp; transform_op,</div>
<div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;    Neighbourhood &amp;&amp; neighbour_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div>
<div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;  <span class="keyword">auto</span> process_chunk =</div>
<div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;    [&amp;transform_op, &amp;neighbour_op,seq](<span class="keyword">auto</span> fins, std::size_t sz, <span class="keyword">auto</span> fout)</div>
<div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;  {</div>
<div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;    seq.<a class="code" href="classgrppi_1_1sequential__execution.html#a6290f596cf82ab5a8dae98a5471d8120">stencil</a>(fins, fout, sz,</div>
<div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160;      std::forward&lt;StencilTransformer&gt;(transform_op),</div>
<div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;      std::forward&lt;Neighbourhood&gt;(neighbour_op));</div>
<div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;  };</div>
<div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160; </div>
<div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;  <span class="keyword">const</span> <span class="keyword">auto</span> chunk_size = sequence_size / concurrency_degree_;</div>
<div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;  {</div>
<div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;    <a class="code" href="classgrppi_1_1worker__pool.html">worker_pool</a> workers{concurrency_degree_};</div>
<div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160; </div>
<div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i!=concurrency_degree_-1; ++i) {</div>
<div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div>
<div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div>
<div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_out = std::next(first_out,delta);</div>
<div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;      workers.launch(*<span class="keyword">this</span>, process_chunk, chunk_firsts, chunk_size, chunk_out);</div>
<div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;    }</div>
<div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160; </div>
<div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_ - 1);</div>
<div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div>
<div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> chunk_out = std::next(first_out,delta);</div>
<div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    process_chunk(chunk_firsts, sequence_size - delta, chunk_out);</div>
<div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;  } <span class="comment">// Pool synch</span></div>
<div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;}</div>
<div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160; </div>
<div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00825"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">  825</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">parallel_execution_native::divide_conquer</a>(</div>
<div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;    Input &amp;&amp; problem, </div>
<div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;    Divider &amp;&amp; divide_op, </div>
<div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;    Solver &amp;&amp; solve_op, </div>
<div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;    Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;  std::atomic&lt;int&gt; num_threads{concurrency_degree_-1};</div>
<div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160; </div>
<div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(std::forward&lt;Input&gt;(problem), std::forward&lt;Divider&gt;(divide_op), </div>
<div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;        std::forward&lt;Solver&gt;(solve_op), std::forward&lt;Combiner&gt;(combine_op),</div>
<div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;        num_threads);</div>
<div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;}</div>
<div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160; </div>
<div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160; </div>
<div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er,<span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00840"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a7d51fc1bf6be19cddf798dedf9db8c94">  840</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">parallel_execution_native::divide_conquer</a>(</div>
<div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;    Input &amp;&amp; problem,</div>
<div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;    Divider &amp;&amp; divide_op,</div>
<div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;    Predicate &amp;&amp; predicate_op,</div>
<div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;    Solver &amp;&amp; solve_op,</div>
<div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;    Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;  std::atomic&lt;int&gt; num_threads{concurrency_degree_-1};</div>
<div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160; </div>
<div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(std::forward&lt;Input&gt;(problem), std::forward&lt;Divider&gt;(divide_op),</div>
<div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;        std::forward&lt;Predicate&gt;(predicate_op),</div>
<div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;        std::forward&lt;Solver&gt;(solve_op), std::forward&lt;Combiner&gt;(combine_op),</div>
<div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;        num_threads);</div>
<div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;}</div>
<div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160; </div>
<div class="line"><a name="l00855"></a><span class="lineno">  855</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> ... Transformers&gt;</div>
<div class="line"><a name="l00856"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a01b4129dc5ffbabfcd568cd3908cd198">  856</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a01b4129dc5ffbabfcd568cd3908cd198">parallel_execution_native::pipeline</a>(</div>
<div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;    Generator &amp;&amp; generate_op, </div>
<div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;    Transformers &amp;&amp; ... transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = decay_t&lt;<span class="keyword">typename</span> result_of&lt;Generator()&gt;::type&gt;;</div>
<div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;  <span class="keyword">using</span> output_type = pair&lt;result_type,long&gt;;</div>
<div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;  <span class="keyword">auto</span> output_queue = make_queue&lt;output_type&gt;();</div>
<div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160; </div>
<div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;  thread generator_task([&amp;,<span class="keyword">this</span>]() {</div>
<div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;    <span class="keyword">auto</span> manager = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>();</div>
<div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160; </div>
<div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;    <span class="keywordtype">long</span> order = 0;</div>
<div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;    <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l00870"></a><span class="lineno">  870</span>&#160;      <span class="keyword">auto</span> item{generate_op()};</div>
<div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;      output_queue.push(make_pair(item, order));</div>
<div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;      order++;</div>
<div class="line"><a name="l00873"></a><span class="lineno">  873</span>&#160;      <span class="keywordflow">if</span> (!item) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00874"></a><span class="lineno">  874</span>&#160;    }</div>
<div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;  });</div>
<div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160; </div>
<div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;  do_pipeline(output_queue, forward&lt;Transformers&gt;(transform_ops)...);</div>
<div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;  generator_task.join();</div>
<div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;}</div>
<div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160; </div>
<div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;<span class="comment">// PRIVATE MEMBERS</span></div>
<div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160; </div>
<div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">parallel_execution_native::divide_conquer</a>(</div>
<div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;    Input &amp;&amp; input, </div>
<div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160;    Divider &amp;&amp; divide_op, </div>
<div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;    Solver &amp;&amp; solve_op, </div>
<div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;    Combiner &amp;&amp; combine_op,</div>
<div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;    std::atomic&lt;int&gt; &amp; num_threads)<span class="keyword"> const</span></div>
<div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div>
<div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;  <span class="keywordflow">if</span> (num_threads.load() &lt;=0) {</div>
<div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;    <span class="keywordflow">return</span> seq.<a class="code" href="classgrppi_1_1sequential__execution.html#ac16e2f2da9663db92dedd44fbb51effa">divide_conquer</a>(std::forward&lt;Input&gt;(input), </div>
<div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div>
<div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;  }</div>
<div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160; </div>
<div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;  <span class="keyword">auto</span> subproblems = divide_op(std::forward&lt;Input&gt;(input));</div>
<div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;  <span class="keywordflow">if</span> (subproblems.size()&lt;=1) { <span class="keywordflow">return</span> solve_op(std::forward&lt;Input&gt;(input)); }</div>
<div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160; </div>
<div class="line"><a name="l00901"></a><span class="lineno">  901</span>&#160;  <span class="keyword">using</span> subresult_type = </div>
<div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;      std::decay_t&lt;<span class="keyword">typename</span> std::result_of&lt;Solver(Input)&gt;::type&gt;;</div>
<div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;  std::vector&lt;subresult_type&gt; partials(subproblems.size()-1);</div>
<div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160; </div>
<div class="line"><a name="l00905"></a><span class="lineno">  905</span>&#160;  <span class="keyword">auto</span> process_subproblem = [&amp;,<span class="keyword">this</span>](<span class="keyword">auto</span> it, std::size_t div) {</div>
<div class="line"><a name="l00906"></a><span class="lineno">  906</span>&#160;    partials[div] = this-&gt;<a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(std::forward&lt;Input&gt;(*it), </div>
<div class="line"><a name="l00907"></a><span class="lineno">  907</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div>
<div class="line"><a name="l00908"></a><span class="lineno">  908</span>&#160;        std::forward&lt;Combiner&gt;(combine_op), num_threads);</div>
<div class="line"><a name="l00909"></a><span class="lineno">  909</span>&#160;  };</div>
<div class="line"><a name="l00910"></a><span class="lineno">  910</span>&#160; </div>
<div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;  <span class="keywordtype">int</span> division = 0;</div>
<div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160; </div>
<div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;  worker_pool workers{num_threads.load()};</div>
<div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;  <span class="keyword">auto</span> i = subproblems.begin() + 1;</div>
<div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;  <span class="keywordflow">while</span> (i!=subproblems.end() &amp;&amp; num_threads.load()&gt;0) {</div>
<div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;    workers.launch(*<span class="keyword">this</span>,process_subproblem, i++, division++);</div>
<div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;    num_threads--;</div>
<div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;  }</div>
<div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160; </div>
<div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;  <span class="keywordflow">while</span> (i!=subproblems.end()) {</div>
<div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;    partials[division] = seq.divide_conquer(std::forward&lt;Input&gt;(*i++), </div>
<div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div>
<div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;  }</div>
<div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160; </div>
<div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;  <span class="keyword">auto</span> subresult = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(std::forward&lt;Input&gt;(*subproblems.begin()), </div>
<div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;      std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div>
<div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;      std::forward&lt;Combiner&gt;(combine_op), num_threads);</div>
<div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160; </div>
<div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;  workers.wait();</div>
<div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160; </div>
<div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;  <span class="keywordflow">return</span> seq.reduce(partials.begin(), partials.size(), </div>
<div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;      std::forward&lt;subresult_type&gt;(subresult), std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;}</div>
<div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160; </div>
<div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er,<span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div>
<div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">parallel_execution_native::divide_conquer</a>(</div>
<div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;    Input &amp;&amp; input,</div>
<div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;    Divider &amp;&amp; divide_op,</div>
<div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;    Predicate &amp;&amp; predicate_op,</div>
<div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;    Solver &amp;&amp; solve_op,</div>
<div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;    Combiner &amp;&amp; combine_op,</div>
<div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160;    std::atomic&lt;int&gt; &amp; num_threads)<span class="keyword"> const</span></div>
<div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;  constexpr sequential_execution seq;</div>
<div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;  <span class="keywordflow">if</span> (num_threads.load() &lt;=0) {</div>
<div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160;    <span class="keywordflow">return</span> seq.divide_conquer(std::forward&lt;Input&gt;(input),</div>
<div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;        std::forward&lt;Divider&gt;(divide_op),</div>
<div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;        std::forward&lt;Predicate&gt;(predicate_op),</div>
<div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;        std::forward&lt;Solver&gt;(solve_op),</div>
<div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;  }</div>
<div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160; </div>
<div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;  <span class="keywordflow">if</span> (predicate_op(input)) { <span class="keywordflow">return</span> solve_op(std::forward&lt;Input&gt;(input)); }</div>
<div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;  <span class="keyword">auto</span> subproblems = divide_op(std::forward&lt;Input&gt;(input));</div>
<div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160; </div>
<div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;  <span class="keyword">using</span> subresult_type =</div>
<div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;      std::decay_t&lt;<span class="keyword">typename</span> std::result_of&lt;Solver(Input)&gt;::type&gt;;</div>
<div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;  std::vector&lt;subresult_type&gt; partials(subproblems.size()-1);</div>
<div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160; </div>
<div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160;  <span class="keyword">auto</span> process_subproblem = [&amp;,<span class="keyword">this</span>](<span class="keyword">auto</span> it, std::size_t div) {</div>
<div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;    partials[div] = this-&gt;<a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(std::forward&lt;Input&gt;(*it),</div>
<div class="line"><a name="l00963"></a><span class="lineno">  963</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op),</div>
<div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;        std::forward&lt;Solver&gt;(solve_op),</div>
<div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;        std::forward&lt;Combiner&gt;(combine_op), num_threads);</div>
<div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;  };</div>
<div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160; </div>
<div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160;  <span class="keywordtype">int</span> division = 0;</div>
<div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160; </div>
<div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;  worker_pool workers{num_threads.load()};</div>
<div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;  <span class="keyword">auto</span> i = subproblems.begin() + 1;</div>
<div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;  <span class="keywordflow">while</span> (i!=subproblems.end() &amp;&amp; num_threads.load()&gt;0) {</div>
<div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160;    workers.launch(*<span class="keyword">this</span>,process_subproblem, i++, division++);</div>
<div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;    num_threads--;</div>
<div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;  }</div>
<div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160; </div>
<div class="line"><a name="l00977"></a><span class="lineno">  977</span>&#160;  <span class="keywordflow">while</span> (i!=subproblems.end()) {</div>
<div class="line"><a name="l00978"></a><span class="lineno">  978</span>&#160;    partials[division] = seq.divide_conquer(std::forward&lt;Input&gt;(*i++),</div>
<div class="line"><a name="l00979"></a><span class="lineno">  979</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op), std::forward&lt;Solver&gt;(solve_op),</div>
<div class="line"><a name="l00980"></a><span class="lineno">  980</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00981"></a><span class="lineno">  981</span>&#160;  }</div>
<div class="line"><a name="l00982"></a><span class="lineno">  982</span>&#160; </div>
<div class="line"><a name="l00983"></a><span class="lineno">  983</span>&#160;  <span class="keyword">auto</span> subresult = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">divide_conquer</a>(std::forward&lt;Input&gt;(*subproblems.begin()),</div>
<div class="line"><a name="l00984"></a><span class="lineno">  984</span>&#160;      std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op), std::forward&lt;Solver&gt;(solve_op),</div>
<div class="line"><a name="l00985"></a><span class="lineno">  985</span>&#160;      std::forward&lt;Combiner&gt;(combine_op), num_threads);</div>
<div class="line"><a name="l00986"></a><span class="lineno">  986</span>&#160; </div>
<div class="line"><a name="l00987"></a><span class="lineno">  987</span>&#160;  workers.wait();</div>
<div class="line"><a name="l00988"></a><span class="lineno">  988</span>&#160; </div>
<div class="line"><a name="l00989"></a><span class="lineno">  989</span>&#160;  <span class="keywordflow">return</span> seq.reduce(partials.begin(), partials.size(),</div>
<div class="line"><a name="l00990"></a><span class="lineno">  990</span>&#160;      std::forward&lt;subresult_type&gt;(subresult), std::forward&lt;Combiner&gt;(combine_op));</div>
<div class="line"><a name="l00991"></a><span class="lineno">  991</span>&#160;}</div>
<div class="line"><a name="l00992"></a><span class="lineno">  992</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Consumer,</div>
<div class="line"><a name="l00993"></a><span class="lineno">  993</span>&#160;          requires_no_pattern&lt;Consumer&gt;&gt;</div>
<div class="line"><a name="l00994"></a><span class="lineno">  994</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l00995"></a><span class="lineno">  995</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l00996"></a><span class="lineno">  996</span>&#160;    Consumer &amp;&amp; consume_op)<span class="keyword"> const</span></div>
<div class="line"><a name="l00997"></a><span class="lineno">  997</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00998"></a><span class="lineno">  998</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l00999"></a><span class="lineno">  999</span>&#160;  <span class="keyword">using</span> gen_value_type = <span class="keyword">typename</span> Queue::value_type;</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160; </div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160;  <span class="keyword">auto</span> manager = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>();</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;  <span class="keywordflow">if</span> (!<a class="code" href="classgrppi_1_1parallel__execution__native.html#a865f895d5f3e10b6f0cfa55f197c109b">is_ordered</a>()) {</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;    <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;      <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;      consume_op(*item.first);</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;    }</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;  }</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;  vector&lt;gen_value_type&gt; elements;</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;  <span class="keywordtype">long</span> current = 0;</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;  <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;    <span class="keyword">auto</span> item = input_queue.pop();</div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;    <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;    <span class="keywordflow">if</span>(current == item.second){</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;      consume_op(*item.first);</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;      current ++;</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;    }</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;    <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;      elements.push_back(item);</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;    }</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;    <span class="keyword">auto</span> it = find_if(elements.begin(), elements.end(), </div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;       [&amp;](<span class="keyword">auto</span> x) { return x.second== current; });</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160;    <span class="keywordflow">if</span>(it != elements.end()){</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;      consume_op(*it-&gt;first);</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;      elements.erase(it);</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;      current++;</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;    }</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160;  }</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;  <span class="keywordflow">while</span> (elements.size()&gt;0) {</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160;    <span class="keyword">auto</span> it = find_if(elements.begin(), elements.end(), </div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;       [&amp;](<span class="keyword">auto</span> x) { return x.second== current; });</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;    <span class="keywordflow">if</span>(it != elements.end()){</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;      consume_op(*it-&gt;first);</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;      elements.erase(it);</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;      current++;</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;    }</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;  }</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;}</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; </div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; </div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Inqueue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> output_type,</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;            requires_no_pattern&lt;Transformer&gt;&gt;</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(Inqueue &amp; input_queue, Transformer &amp;&amp; transform_op,</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;      mpmc_queue&lt;output_type&gt; &amp; output_queue)<span class="keyword"> const</span></div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; </div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;  <span class="keyword">using</span> output_item_value_type = <span class="keyword">typename</span> output_type::first_type::value_type;</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160;  <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160;    <span class="keyword">auto</span> item{input_queue.pop()}; </div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;    <span class="keywordflow">if</span>(!item.first) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;    <span class="keyword">auto</span> out = output_item_value_type{transform_op(*item.first)};</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160;    output_queue.push(make_pair(out,item.second)) ;</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;  }</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;}</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; </div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; </div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; </div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, </div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160;          requires_no_pattern&lt;Transformer&gt;&gt;</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;    Transformer &amp;&amp; transform_op,</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; </div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> Queue::value_type;</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160;  <span class="keyword">using</span> transform_result_type = </div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;      decay_t&lt;<span class="keyword">typename</span> result_of&lt;Transformer(input_item_value_type)&gt;::type&gt;;</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;  <span class="keyword">using</span> output_item_value_type = optional&lt;transform_result_type&gt;;</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;  <span class="keyword">using</span> output_item_type = pair&lt;output_item_value_type,long&gt;;</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; </div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;    <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>&lt;output_item_type&gt;(other_transform_ops...);</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; </div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;  thread task([&amp;,this]() {</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;    <span class="keyword">auto</span> manager = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>();</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160; </div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;    <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;      <span class="keyword">auto</span> item{input_queue.pop()};</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;      <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;      <span class="keyword">auto</span> out = output_item_value_type{transform_op(*item.first)};</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;      output_queue.push(make_pair(out, item.second));</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;    }</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;    output_queue.push(make_pair(output_item_value_type{},-1));</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;  });</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160; </div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;  do_pipeline(output_queue, </div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;      forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;  task.join();</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160;}</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160; </div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer,</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160;          requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt;&gt;</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;    Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj)<span class="keyword"> const</span></div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160; </div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160;  <span class="keyword">auto</span> farm_task = [&amp;](int) {</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160;    <span class="keyword">auto</span> item{input_queue.pop()}; </div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;    <span class="keywordflow">while</span> (item.first) {</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;      farm_obj(*item.first);</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;      item = input_queue.pop();</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160;    }</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;    input_queue.push(item);</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;  };</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160; </div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;  <span class="keyword">auto</span> ntasks = farm_obj.cardinality();</div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;  worker_pool workers{ntasks};</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;  workers.launch_tasks(*<span class="keyword">this</span>, farm_task, ntasks);  </div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;  workers.wait();</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;}</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160; </div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; </div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Execution, <span class="keyword">typename</span> Transformer,</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>, <span class="keyword">typename</span>&gt; <span class="keyword">class </span>Context,</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160;          requires_context&lt;Context&lt;Execution,Transformer&gt;&gt;&gt;</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(Queue &amp; input_queue, </div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;    Context&lt;Execution,Transformer&gt; &amp;&amp; context_op,</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;    OtherTransformers &amp;&amp;... other_ops)<span class="keyword"> const </span></div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160; </div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> Queue::value_type;</div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160; </div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;  <span class="keyword">using</span> output_type = <span class="keyword">typename</span> <a class="code" href="structgrppi_1_1stage__return__type.html#a6b47b45a7d7664ac97fee040c220eea2">stage_return_type&lt;input_item_value_type, Transformer&gt;::type</a>;</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160;  <span class="keyword">using</span> output_optional_type = experimental::optional&lt;output_type&gt;;</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;  <span class="keyword">using</span> output_item_type = pair &lt;output_optional_type, long&gt; ;</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160; </div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160;    <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>&lt;output_item_type&gt;(other_ops...);</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;  </div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160;  auto context_task = [&amp;]() {</div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160;    context_op.execution_policy().pipeline(input_queue, context_op.transformer(), output_queue);</div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;    output_queue.push( make_pair(output_optional_type{}, -1) );</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;  };</div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160; </div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;  worker_pool workers{1};</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;  workers.launch_tasks(*<span class="keyword">this</span>, context_task);</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; </div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;  do_pipeline(output_queue,</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160;      forward&lt;OtherTransformers&gt;(other_ops)... );</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160; </div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160;  workers.wait();</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;}</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160; </div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; </div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer, </div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;          requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt;&gt;</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160;    Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj,</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160; </div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> Queue::value_type;</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160; </div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;  <span class="keyword">using</span> output_type = <span class="keyword">typename</span> <a class="code" href="structgrppi_1_1stage__return__type.html#a6b47b45a7d7664ac97fee040c220eea2">stage_return_type&lt;input_item_value_type, FarmTransformer&gt;::type</a>;</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160;  <span class="keyword">using</span> output_optional_type = experimental::optional&lt;output_type&gt;;</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;  <span class="keyword">using</span> output_item_type = pair &lt;output_optional_type, long&gt; ;</div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160; </div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue = </div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160;    <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>&lt;output_item_type&gt;(other_transform_ops...);</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160; </div>
<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160;  atomic&lt;<span class="keywordtype">int</span>&gt; done_threads{0};</div>
<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160; </div>
<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;  <span class="keyword">auto</span> farm_task = [&amp;](<span class="keywordtype">int</span> nt) {</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160;    do_pipeline(input_queue, farm_obj.transformer(), output_queue);</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160;    done_threads++;</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160;    <span class="keywordflow">if</span> (done_threads == nt) {</div>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160;      output_queue.push(make_pair(output_optional_type{}, -1));</div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160;    }<span class="keywordflow">else</span>{</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160;      input_queue.push(input_item_type{});</div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160;    }</div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160;  };</div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160; </div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160;  <span class="keyword">auto</span> ntasks = farm_obj.cardinality();</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;  worker_pool workers{ntasks};</div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160;  workers.launch_tasks(*<span class="keyword">this</span>, farm_task, ntasks);  </div>
<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160;  do_pipeline(output_queue, </div>
<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160;      forward&lt;OtherTransformers&gt;(other_transform_ops)... );</div>
<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160;  </div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160;  workers.wait();</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160;}</div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160; </div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate, </div>
<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div>
<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>&#160;          requires_filter&lt;Filter&lt;Predicate&gt;&gt;&gt;</div>
<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160;    Filter&lt;Predicate&gt; &amp;&amp; filter_obj,</div>
<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160; </div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> Queue::value_type;</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160;  <span class="keyword">using</span> input_value_type = <span class="keyword">typename</span> input_item_type::first_type;</div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160;  <span class="keyword">auto</span> filter_queue = make_queue&lt;input_item_type&gt;();</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160; </div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160;  <span class="keyword">auto</span> filter_task = [&amp;,<span class="keyword">this</span>]() {</div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>&#160;    <span class="keyword">auto</span> manager = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>();</div>
<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>&#160;    <span class="keyword">auto</span> item{input_queue.pop()};</div>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>&#160;    <span class="keywordflow">while</span> (item.first) {</div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160;      <span class="keywordflow">if</span> (filter_obj(*item.first)) {</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>&#160;        filter_queue.push(item);</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160;      }</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160;      <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160;        filter_queue.push(make_pair(input_value_type{}, item.second));</div>
<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160;      }</div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160;      item = input_queue.pop();</div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160;    }</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160;    filter_queue.push(make_pair(input_value_type{}, -1));</div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160;  };</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160;  thread filter_thread{filter_task};</div>
<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160; </div>
<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160;    <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>&lt;input_item_type&gt;(other_transform_ops...);</div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160; </div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160;  thread ordering_thread;</div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160;  if (<a class="code" href="classgrppi_1_1parallel__execution__native.html#a865f895d5f3e10b6f0cfa55f197c109b">is_ordered</a>()) {</div>
<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160;    <span class="keyword">auto</span> ordering_task = [&amp;]() {</div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160;      <span class="keyword">auto</span> manager = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>();</div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160;      vector&lt;input_item_type&gt; elements;</div>
<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160;      <span class="keywordtype">int</span> current = 0;</div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160;      <span class="keywordtype">long</span> order = 0;</div>
<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160;      <span class="keyword">auto</span> item{filter_queue.pop()};</div>
<div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>&#160;      <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160;        <span class="keywordflow">if</span>(!item.first &amp;&amp; item.second == -1) <span class="keywordflow">break</span>; </div>
<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160;        <span class="keywordflow">if</span> (item.second == current) {</div>
<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160;          <span class="keywordflow">if</span> (item.first) {</div>
<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160;            output_queue.push(make_pair(item.first,order));</div>
<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160;            order++;</div>
<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160;          }</div>
<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160;          current++;</div>
<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160;        }</div>
<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160;        <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160;          elements.push_back(item);</div>
<div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160;        }</div>
<div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>&#160;        <span class="keyword">auto</span> it = find_if(elements.begin(), elements.end(), </div>
<div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160;           [&amp;](<span class="keyword">auto</span> x) { return x.second== current; });</div>
<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160;        <span class="keywordflow">if</span>(it != elements.end()){</div>
<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160;          <span class="keywordflow">if</span> (it-&gt;first) {</div>
<div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160;            output_queue.push(make_pair(it-&gt;first,order));</div>
<div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160;            order++;</div>
<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160;          }       </div>
<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;          elements.erase(it);</div>
<div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160;          current++;</div>
<div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160;        }</div>
<div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160;        item = filter_queue.pop();</div>
<div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160;      }</div>
<div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>&#160;      <span class="keywordflow">while</span> (elements.size()&gt;0) {</div>
<div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160;        <span class="keyword">auto</span> it = find_if(elements.begin(), elements.end(), </div>
<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160;           [&amp;](<span class="keyword">auto</span> x) { return x.second== current; });</div>
<div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160;        <span class="keywordflow">if</span>(it != elements.end()){</div>
<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160;          <span class="keywordflow">if</span> (it-&gt;first) {</div>
<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160;            output_queue.push(make_pair(it-&gt;first,order));</div>
<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160;            order++;</div>
<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160;          }       </div>
<div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160;          elements.erase(it);</div>
<div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160;          current++;</div>
<div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160;        }</div>
<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160;      }</div>
<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160;      output_queue.push(item);</div>
<div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160;    };</div>
<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; </div>
<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160;    ordering_thread = thread{ordering_task};</div>
<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160;    do_pipeline(output_queue, forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;    filter_thread.join();</div>
<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;    ordering_thread.join();</div>
<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160;  }</div>
<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;  <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>&#160;    do_pipeline(filter_queue, forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160;    filter_thread.join();</div>
<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>&#160;  }</div>
<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160;}</div>
<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160; </div>
<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Combiner, <span class="keyword">typename</span> Identity,</div>
<div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span> C, <span class="keyword">typename</span> I&gt; <span class="keyword">class </span>Reduce,</div>
<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160;          requires_reduce&lt;Reduce&lt;Combiner,Identity&gt;&gt;&gt;</div>
<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;    Queue &amp;&amp; input_queue, </div>
<div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160;    Reduce&lt;Combiner,Identity&gt; &amp;&amp; reduce_obj,</div>
<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160; </div>
<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;  <span class="keyword">using</span> output_item_value_type = optional&lt;decay_t&lt;Identity&gt;&gt;;</div>
<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;  <span class="keyword">using</span> output_item_type = pair&lt;output_item_value_type,long&gt;;</div>
<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div>
<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;    <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>&lt;output_item_type&gt;(other_transform_ops...);</div>
<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160; </div>
<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;  auto reduce_task = [&amp;,this]() {</div>
<div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160;    <span class="keyword">auto</span> manager = <a class="code" href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">thread_manager</a>();</div>
<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;    <span class="keyword">auto</span> item{input_queue.pop()};</div>
<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;    <span class="keywordtype">int</span> order = 0;</div>
<div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160;    <span class="keywordflow">while</span> (item.first) {</div>
<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160;      reduce_obj.add_item(std::forward&lt;Identity&gt;(*item.first));</div>
<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160;      item = input_queue.pop();</div>
<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160;      <span class="keywordflow">if</span> (reduce_obj.reduction_needed()) {</div>
<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160;        constexpr sequential_execution seq;</div>
<div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160;        <span class="keyword">auto</span> red = reduce_obj.reduce_window(seq);</div>
<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160;        output_queue.push(make_pair(red, order++));</div>
<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;      }</div>
<div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160;    }</div>
<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;    output_queue.push(make_pair(output_item_value_type{}, -1));</div>
<div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160;  };</div>
<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;  thread reduce_thread{reduce_task};</div>
<div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160;  do_pipeline(output_queue, forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;  reduce_thread.join();</div>
<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160;}</div>
<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160; </div>
<div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div>
<div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div>
<div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160;          requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt;,</div>
<div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160;          requires_no_pattern&lt;Transformer&gt;&gt;</div>
<div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160;    Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div>
<div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160;  <span class="keyword">using namespace </span>std;</div>
<div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160;  <span class="keyword">using namespace </span>experimental;</div>
<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160; </div>
<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> decay_t&lt;Queue&gt;::value_type;</div>
<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160; </div>
<div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div>
<div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160;    <a class="code" href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">get_output_queue</a>&lt;input_item_type&gt;(other_transform_ops...);</div>
<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160; </div>
<div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160;  auto iteration_task = [&amp;]() {</div>
<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160;    <span class="keywordflow">for</span> (;;) {</div>
<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div>
<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160;      <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160;      <span class="keyword">auto</span> value = iteration_obj.transform(*item.first);</div>
<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160;      <span class="keyword">auto</span> new_item = input_item_type{value,item.second};</div>
<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160;      <span class="keywordflow">if</span> (iteration_obj.predicate(value)) {</div>
<div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160;        output_queue.push(new_item);</div>
<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;      }</div>
<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160;      <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160;        input_queue.push(new_item);</div>
<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;      }</div>
<div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160;    }</div>
<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160;    <span class="keywordflow">while</span> (!input_queue.is_empty()) {</div>
<div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div>
<div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;      <span class="keyword">auto</span> value = iteration_obj.transform(*item.first);</div>
<div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160;      <span class="keyword">auto</span> new_item = input_item_type{value,item.second};</div>
<div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;      <span class="keywordflow">if</span> (iteration_obj.predicate(value)) {</div>
<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160;        output_queue.push(new_item);</div>
<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160;      }</div>
<div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160;      <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;        input_queue.push(new_item);</div>
<div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160;      }</div>
<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;    }</div>
<div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>&#160;    output_queue.push(input_item_type{{},-1});</div>
<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;  };</div>
<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160; </div>
<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;  thread iteration_thread{iteration_task};</div>
<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160;  do_pipeline(output_queue, forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div>
<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;  iteration_thread.join();</div>
<div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160;}</div>
<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160; </div>
<div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div>
<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div>
<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;          requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt;,</div>
<div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160;          requires_pipeline&lt;Transformer&gt;&gt;</div>
<div class="line"><a name="l01388"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#ab1083f0d731ce4eb7d279beb00ff9cbc"> 1388</a></span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160;    Queue &amp;,</div>
<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160;    Iteration&lt;Transformer,Predicate&gt; &amp;&amp;,</div>
<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160;    OtherTransformers &amp;&amp; ...)<span class="keyword"> const</span></div>
<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160;  static_assert(!is_pipeline&lt;Transformer&gt;, <span class="stringliteral">&quot;Not implemented&quot;</span>);</div>
<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160;}</div>
<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160; </div>
<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160; </div>
<div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div>
<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;          <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt;&gt;</div>
<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160;    Queue &amp; input_queue,</div>
<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;    Pipeline&lt;Transformers...&gt; &amp;&amp; pipeline_obj)<span class="keyword"> const</span></div>
<div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160;  do_pipeline_nested(</div>
<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160;      input_queue,</div>
<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160;      pipeline_obj.transformers(), </div>
<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160;      std::make_index_sequence&lt;<span class="keyword">sizeof</span>...(Transformers)&gt;());</div>
<div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160;}</div>
<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160; </div>
<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div>
<div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div>
<div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160;          <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt;&gt;</div>
<div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(</div>
<div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;    Queue &amp; input_queue,</div>
<div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160;    Pipeline&lt;Transformers...&gt; &amp;&amp; pipeline_obj,</div>
<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div>
<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;  do_pipeline_nested(</div>
<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160;      input_queue,</div>
<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160;      std::tuple_cat(pipeline_obj.transformers(), </div>
<div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160;          std::forward_as_tuple(other_transform_ops...)),</div>
<div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;      std::make_index_sequence&lt;<span class="keyword">sizeof</span>...(Transformers)+<span class="keyword">sizeof</span>...(OtherTransformers)&gt;());</div>
<div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160;}</div>
<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160; </div>
<div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div>
<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;          std::size_t ... I&gt;</div>
<div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline_nested(</div>
<div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;    Queue &amp; input_queue, </div>
<div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160;    std::tuple&lt;Transformers...&gt; &amp;&amp; transform_ops,</div>
<div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160;    std::index_sequence&lt;I...&gt;)<span class="keyword"> const</span></div>
<div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160;  do_pipeline(input_queue,</div>
<div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160;      std::forward&lt;Transformers&gt;(std::get&lt;I&gt;(transform_ops))...);</div>
<div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160;}</div>
<div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160; </div>
<div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Others&gt;</div>
<div class="line"><a name="l01438"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__native.html#a1e1dfd86224c1504004fa6b81adeb341"> 1438</a></span>&#160;<span class="keywordtype">void</span> parallel_execution_native::do_pipeline(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp;, <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp;, Others &amp;&amp;...)<span class="keyword"> const</span></div>
<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160;}</div>
<div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160; </div>
<div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160;} <span class="comment">// end namespace grppi</span></div>
<div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160; </div>
<div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="ttc" id="aclassgrppi_1_1mpmc__queue_html"><div class="ttname"><a href="classgrppi_1_1mpmc__queue.html">grppi::mpmc_queue</a></div><div class="ttdef"><b>Definition:</b> mpmc_queue.h:33</div></div>
<div class="ttc" id="aclassgrppi_1_1native__thread__manager_html"><div class="ttname"><a href="classgrppi_1_1native__thread__manager.html">grppi::native_thread_manager</a></div><div class="ttdoc">RAII class to manage registration/deregistration pairs. This class allows to manage automatic deregis...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:110</div></div>
<div class="ttc" id="aclassgrppi_1_1native__thread__manager_html_a02e32d5528da8067d367e1596d690741"><div class="ttname"><a href="classgrppi_1_1native__thread__manager.html#a02e32d5528da8067d367e1596d690741">grppi::native_thread_manager::~native_thread_manager</a></div><div class="ttdeci">~native_thread_manager()</div><div class="ttdoc">Deregisters current thread from the registry.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:122</div></div>
<div class="ttc" id="aclassgrppi_1_1native__thread__manager_html_a7f02489612c3bec56c829b3336c50fbe"><div class="ttname"><a href="classgrppi_1_1native__thread__manager.html#a7f02489612c3bec56c829b3336c50fbe">grppi::native_thread_manager::native_thread_manager</a></div><div class="ttdeci">native_thread_manager(thread_registry &amp;registry)</div><div class="ttdoc">Saves a reference to the registry and registers current thread.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:115</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html">grppi::parallel_execution_native</a></div><div class="ttdoc">Native parallel execution policy. This policy uses ISO C++ threads as implementation building block a...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:135</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a01b4129dc5ffbabfcd568cd3908cd198"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a01b4129dc5ffbabfcd568cd3908cd198">grppi::parallel_execution_native::pipeline</a></div><div class="ttdeci">void pipeline(Generator &amp;&amp;generate_op, Transformers &amp;&amp;... transform_ops) const</div><div class="ttdoc">Invoke Pipeline pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:856</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a10880dd9d49d864e7f444c86ac4a46cf"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a10880dd9d49d864e7f444c86ac4a46cf">grppi::parallel_execution_native::make_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; make_queue() const</div><div class="ttdoc">Makes a communication queue for elements of type T. Constructs a queue using the attributes that can ...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:227</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a19ab3a76eaf5ff20e005e4c231de5668"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a19ab3a76eaf5ff20e005e4c231de5668">grppi::parallel_execution_native::set_concurrency_degree</a></div><div class="ttdeci">void set_concurrency_degree(int degree) noexcept</div><div class="ttdoc">Set number of grppi threads.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:174</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a2176d672f3a4ccc084733bfd07e8b871"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a2176d672f3a4ccc084733bfd07e8b871">grppi::parallel_execution_native::map_reduce</a></div><div class="ttdeci">auto map_reduce(std::tuple&lt; InputIterators... &gt; firsts, std::size_t sequence_size, Identity &amp;&amp;identity, Transformer &amp;&amp;transform_op, Combiner &amp;&amp;combine_op) const</div><div class="ttdoc">Applies a map/reduce operation to a sequence of data items.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:752</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a2b98f877a6e1273329b77e80f8c70d05"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a2b98f877a6e1273329b77e80f8c70d05">grppi::parallel_execution_native::parallel_execution_native</a></div><div class="ttdeci">parallel_execution_native(int concurrency_degree, bool ordering=true) noexcept</div><div class="ttdoc">Constructs a native parallel execution policy.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:162</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a2d8ff67ca30e0fa19ad0c9365a59ff02"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a2d8ff67ca30e0fa19ad0c9365a59ff02">grppi::parallel_execution_native::set_queue_attributes</a></div><div class="ttdeci">void set_queue_attributes(int size, queue_mode mode) noexcept</div><div class="ttdoc">Sets the attributes for the queues built through make_queue&lt;T&gt;()</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:215</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a4637a785a2061321e68345514c31ca1c"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a4637a785a2061321e68345514c31ca1c">grppi::parallel_execution_native::parallel_execution_native</a></div><div class="ttdeci">parallel_execution_native(const parallel_execution_native &amp;ex)</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:167</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a5d64864ad9a1712b2528c0d424fd7ae4"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a5d64864ad9a1712b2528c0d424fd7ae4">grppi::parallel_execution_native::disable_ordering</a></div><div class="ttdeci">void disable_ordering() noexcept</div><div class="ttdoc">Disable ordering.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:189</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a7c85c1297cd4864c1eee227786219ec4"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a7c85c1297cd4864c1eee227786219ec4">grppi::parallel_execution_native::divide_conquer</a></div><div class="ttdeci">auto divide_conquer(Input &amp;&amp;input, Divider &amp;&amp;divide_op, Solver &amp;&amp;solve_op, Combiner &amp;&amp;combine_op) const</div><div class="ttdoc">Invoke md_divide-conquer.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:825</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a865f895d5f3e10b6f0cfa55f197c109b"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a865f895d5f3e10b6f0cfa55f197c109b">grppi::parallel_execution_native::is_ordered</a></div><div class="ttdeci">bool is_ordered() const noexcept</div><div class="ttdoc">Is execution ordered.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:194</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a8db778ce00ec067865a95be462f3243b"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a8db778ce00ec067865a95be462f3243b">grppi::parallel_execution_native::map</a></div><div class="ttdeci">void map(std::tuple&lt; InputIterators... &gt; firsts, OutputIterator first_out, std::size_t sequence_size, Transformer transform_op) const</div><div class="ttdoc">Applies a transformation to multiple sequences leaving the result in another sequence by chunks accor...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:679</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a8eebfa3f27e0ca33ab2d5dc6f993b336"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a8eebfa3f27e0ca33ab2d5dc6f993b336">grppi::parallel_execution_native::thread_manager</a></div><div class="ttdeci">native_thread_manager thread_manager() const</div><div class="ttdoc">Get a manager object for registration/deregistration in the thread index table for current thread.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:200</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a969c78379311aa8678df7eaac0ae33b6"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a969c78379311aa8678df7eaac0ae33b6">grppi::parallel_execution_native::get_thread_id</a></div><div class="ttdeci">int get_thread_id() const noexcept</div><div class="ttdoc">Get index of current thread in the thread table.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:208</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_a96fc47e584768cbbb68ce937b8bbc149"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a96fc47e584768cbbb68ce937b8bbc149">grppi::parallel_execution_native::get_output_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; get_output_queue(Transformers &amp;&amp;...) const</div><div class="ttdoc">Makes a communication queue for elements of type T if the queue has not been created in an outer patt...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:252</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_aae3c5760c422c19a391ce1ddaa5e9f0b"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#aae3c5760c422c19a391ce1ddaa5e9f0b">grppi::parallel_execution_native::concurrency_degree</a></div><div class="ttdeci">int concurrency_degree() const noexcept</div><div class="ttdoc">Get number of grppi threads.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:179</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_aaf99699aa7bbcddca2b1b7176e641da6"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#aaf99699aa7bbcddca2b1b7176e641da6">grppi::parallel_execution_native::pipeline</a></div><div class="ttdeci">void pipeline(mpmc_queue&lt; InputType &gt; &amp;input_queue, Transformer &amp;&amp;transform_op, mpmc_queue&lt; OutputType &gt; &amp;output_queue) const</div><div class="ttdoc">Invoke Pipeline pattern coming from another context that uses mpmc_queues as communication channels.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:400</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_ac3a2ba53ec25de0e0df32c5ae2bda381"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#ac3a2ba53ec25de0e0df32c5ae2bda381">grppi::parallel_execution_native::reduce</a></div><div class="ttdeci">auto reduce(InputIterator first, std::size_t sequence_size, Identity &amp;&amp;identity, Combiner &amp;&amp;combine_op) const</div><div class="ttdoc">Applies a reduction to a sequence of data items.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:715</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_ac71cfba0f7349d3ccfa4ffd0133a7298"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#ac71cfba0f7349d3ccfa4ffd0133a7298">grppi::parallel_execution_native::enable_ordering</a></div><div class="ttdeci">void enable_ordering() noexcept</div><div class="ttdoc">Enable ordering.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:184</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_ad2664e02c85c147716a0028db3617ce7"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#ad2664e02c85c147716a0028db3617ce7">grppi::parallel_execution_native::stencil</a></div><div class="ttdeci">void stencil(std::tuple&lt; InputIterators... &gt; firsts, OutputIterator first_out, std::size_t sequence_size, StencilTransformer &amp;&amp;transform_op, Neighbourhood &amp;&amp;neighbour_op) const</div><div class="ttdoc">Applies a stencil to multiple sequences leaving the result in another sequence.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:791</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_ade8219a47138ed32dd2209097c6edb91"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#ade8219a47138ed32dd2209097c6edb91">grppi::parallel_execution_native::parallel_execution_native</a></div><div class="ttdeci">parallel_execution_native() noexcept</div><div class="ttdoc">Default construct a native parallel execution policy.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:148</div></div>
<div class="ttc" id="aclassgrppi_1_1parallel__execution__native_html_afaf82b9455e95c36eec1b267e02f5720"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#afaf82b9455e95c36eec1b267e02f5720">grppi::parallel_execution_native::get_output_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; &amp; get_output_queue(mpmc_queue&lt; T &gt; &amp;queue, Transformers &amp;&amp;...) const</div><div class="ttdoc">Returns the reference of a communication queue for elements of type T if the queue has been created i...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:240</div></div>
<div class="ttc" id="aclassgrppi_1_1sequential__execution_html"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html">grppi::sequential_execution</a></div><div class="ttdoc">Sequential execution policy.</div><div class="ttdef"><b>Definition:</b> sequential_execution.h:36</div></div>
<div class="ttc" id="aclassgrppi_1_1sequential__execution_html_a25482f650b1a92ba62420abcbfe653ee"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html#a25482f650b1a92ba62420abcbfe653ee">grppi::sequential_execution::reduce</a></div><div class="ttdeci">constexpr auto reduce(InputIterator first, std::size_t sequence_size, Identity &amp;&amp;identity, Combiner &amp;&amp;combine_op) const</div><div class="ttdoc">Applies a reduction to a sequence of data items.</div><div class="ttdef"><b>Definition:</b> sequential_execution.h:464</div></div>
<div class="ttc" id="aclassgrppi_1_1sequential__execution_html_a6290f596cf82ab5a8dae98a5471d8120"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html#a6290f596cf82ab5a8dae98a5471d8120">grppi::sequential_execution::stencil</a></div><div class="ttdeci">constexpr void stencil(std::tuple&lt; InputIterators... &gt; firsts, OutputIterator first_out, std::size_t sequence_size, StencilTransformer &amp;&amp;transform_op, Neighbourhood &amp;&amp;neighbour_op) const</div><div class="ttdoc">Applies a stencil to multiple sequences leaving the result in another sequence.</div><div class="ttdef"><b>Definition:</b> sequential_execution.h:497</div></div>
<div class="ttc" id="aclassgrppi_1_1sequential__execution_html_a75a178df82f61ff9de6f885c27e722a0"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html#a75a178df82f61ff9de6f885c27e722a0">grppi::sequential_execution::map_reduce</a></div><div class="ttdeci">constexpr auto map_reduce(std::tuple&lt; InputIterators... &gt; firsts, std::size_t sequence_size, Identity &amp;&amp;identity, Transformer &amp;&amp;transform_op, Combiner &amp;&amp;combine_op) const</div><div class="ttdoc">Applies a map/reduce operation to a sequence of data items.</div><div class="ttdef"><b>Definition:</b> sequential_execution.h:480</div></div>
<div class="ttc" id="aclassgrppi_1_1sequential__execution_html_ac16e2f2da9663db92dedd44fbb51effa"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html#ac16e2f2da9663db92dedd44fbb51effa">grppi::sequential_execution::divide_conquer</a></div><div class="ttdeci">auto divide_conquer(Input &amp;&amp;input, Divider &amp;&amp;divide_op, Solver &amp;&amp;solve_op, Combiner &amp;&amp;combine_op) const</div><div class="ttdoc">Invoke md_divide-conquer.</div><div class="ttdef"><b>Definition:</b> sequential_execution.h:538</div></div>
<div class="ttc" id="aclassgrppi_1_1thread__registry_html"><div class="ttname"><a href="classgrppi_1_1thread__registry.html">grppi::thread_registry</a></div><div class="ttdoc">Thread index table to provide portable natural thread indices.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:48</div></div>
<div class="ttc" id="aclassgrppi_1_1thread__registry_html_a104723128802754ecfa69995280bd56e"><div class="ttname"><a href="classgrppi_1_1thread__registry.html#a104723128802754ecfa69995280bd56e">grppi::thread_registry::thread_registry</a></div><div class="ttdeci">thread_registry()=default</div></div>
<div class="ttc" id="aclassgrppi_1_1thread__registry_html_a3c61f318e381df30a3d1bcd5a5f83f69"><div class="ttname"><a href="classgrppi_1_1thread__registry.html#a3c61f318e381df30a3d1bcd5a5f83f69">grppi::thread_registry::register_thread</a></div><div class="ttdeci">void register_thread() noexcept</div><div class="ttdoc">Adds the current thread id in the registry.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:74</div></div>
<div class="ttc" id="aclassgrppi_1_1thread__registry_html_a4fe2639e9ddc939d6ecfa9d2db99dfee"><div class="ttname"><a href="classgrppi_1_1thread__registry.html#a4fe2639e9ddc939d6ecfa9d2db99dfee">grppi::thread_registry::current_index</a></div><div class="ttdeci">int current_index() const noexcept</div><div class="ttdoc">Integer index for current thread.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:93</div></div>
<div class="ttc" id="aclassgrppi_1_1thread__registry_html_a6998752c4b6f918c36e808a8a8d60112"><div class="ttname"><a href="classgrppi_1_1thread__registry.html#a6998752c4b6f918c36e808a8a8d60112">grppi::thread_registry::deregister_thread</a></div><div class="ttdeci">void deregister_thread() noexcept</div><div class="ttdoc">Removes current thread id from the registry.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:83</div></div>
<div class="ttc" id="aclassgrppi_1_1worker__pool_html"><div class="ttname"><a href="classgrppi_1_1worker__pool.html">grppi::worker_pool</a></div><div class="ttdoc">Pool of worker threads. This class offers a simple pool of worker threads.</div><div class="ttdef"><b>Definition:</b> worker_pool.h:29</div></div>
<div class="ttc" id="anamespacegrppi_html"><div class="ttname"><a href="namespacegrppi.html">grppi</a></div><div class="ttdef"><b>Definition:</b> callable_traits.h:21</div></div>
<div class="ttc" id="anamespacegrppi_html_a0e0a4592d21e2809553b810d6d2704f1"><div class="ttname"><a href="namespacegrppi.html#a0e0a4592d21e2809553b810d6d2704f1">grppi::supports_reduce&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool supports_reduce&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy supports the reduce pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:647</div></div>
<div class="ttc" id="anamespacegrppi_html_a1c6e71cb617cee8d3216b1710891a349"><div class="ttname"><a href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">grppi::requires_pipeline</a></div><div class="ttdeci">typename std::enable_if_t&lt; is_pipeline&lt; T &gt;, int &gt; requires_pipeline</div><div class="ttdef"><b>Definition:</b> pipeline_pattern.h:107</div></div>
<div class="ttc" id="anamespacegrppi_html_a239c6c8ef8f854554308613a4ff88ed0"><div class="ttname"><a href="namespacegrppi.html#a239c6c8ef8f854554308613a4ff88ed0">grppi::supports_map_reduce&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool supports_map_reduce&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy supports the map-reduce pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:654</div></div>
<div class="ttc" id="anamespacegrppi_html_a42fb74f9dece6623d7f01995d4adc5fe"><div class="ttname"><a href="namespacegrppi.html#a42fb74f9dece6623d7f01995d4adc5fe">grppi::is_parallel_execution_native</a></div><div class="ttdeci">constexpr bool is_parallel_execution_native()</div><div class="ttdoc">Metafunction that determines if type E is parallel_execution_native.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:624</div></div>
<div class="ttc" id="anamespacegrppi_html_a64dd705d0f32b64d20dba8d5b9cebbbe"><div class="ttname"><a href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">grppi::result_type</a></div><div class="ttdeci">typename std::result_of&lt; Transformer(Input)&gt;::type result_type</div><div class="ttdoc">Determines the return type of applying a function on a input type.</div><div class="ttdef"><b>Definition:</b> patterns.h:105</div></div>
<div class="ttc" id="anamespacegrppi_html_a71670a3d4221ca70a8e5e126ba5c01c9"><div class="ttname"><a href="namespacegrppi.html#a71670a3d4221ca70a8e5e126ba5c01c9">grppi::supports_stencil&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool supports_stencil&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy supports the stencil pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:661</div></div>
<div class="ttc" id="anamespacegrppi_html_a80bc4d209d73b130fc20e4afe91fa94b"><div class="ttname"><a href="namespacegrppi.html#a80bc4d209d73b130fc20e4afe91fa94b">grppi::supports_pipeline&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool supports_pipeline&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy supports the pipeline pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:675</div></div>
<div class="ttc" id="anamespacegrppi_html_a8b41b3b3e07dbd6dd7a3e587400da0aa"><div class="ttname"><a href="namespacegrppi.html#a8b41b3b3e07dbd6dd7a3e587400da0aa">grppi::supports_divide_conquer&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool supports_divide_conquer&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy supports the divide/conquer pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:668</div></div>
<div class="ttc" id="anamespacegrppi_html_aa0514650a765d4853343655e7588662b"><div class="ttname"><a href="namespacegrppi.html#aa0514650a765d4853343655e7588662b">grppi::queue_mode</a></div><div class="ttdeci">queue_mode</div><div class="ttdef"><b>Definition:</b> mpmc_queue.h:30</div></div>
<div class="ttc" id="anamespacegrppi_html_aa0514650a765d4853343655e7588662ba14343966a1d7dce7526e57cf2206d19d"><div class="ttname"><a href="namespacegrppi.html#aa0514650a765d4853343655e7588662ba14343966a1d7dce7526e57cf2206d19d">grppi::queue_mode::blocking</a></div><div class="ttdeci">@ blocking</div></div>
<div class="ttc" id="anamespacegrppi_html_ab39b26ce38bba1d96af530ebcd807693"><div class="ttname"><a href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">grppi::iterators_next</a></div><div class="ttdeci">auto iterators_next(T &amp;&amp;t, int n)</div><div class="ttdoc">Computes next n steps from a tuple of iterators.</div><div class="ttdef"><b>Definition:</b> iterator.h:170</div></div>
<div class="ttc" id="anamespacegrppi_html_ac0641c069b2aebeee3b0ac9ddd6c97ea"><div class="ttname"><a href="namespacegrppi.html#ac0641c069b2aebeee3b0ac9ddd6c97ea">grppi::is_supported&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool is_supported&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy is supported in the current compilation.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:633</div></div>
<div class="ttc" id="anamespacegrppi_html_acef5be3b3e47ccebc79b3e51a40c38e7"><div class="ttname"><a href="namespacegrppi.html#acef5be3b3e47ccebc79b3e51a40c38e7">grppi::supports_map&lt; parallel_execution_native &gt;</a></div><div class="ttdeci">constexpr bool supports_map&lt; parallel_execution_native &gt;()</div><div class="ttdoc">Determines if an execution policy supports the map pattern.</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:640</div></div>
<div class="ttc" id="anamespacegrppi_html_aefc4ab6149586d62bcb16b97bcefdd0a"><div class="ttname"><a href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">grppi::requires_no_pattern</a></div><div class="ttdeci">std::enable_if_t&lt; is_no_pattern&lt; T &gt;, int &gt; requires_no_pattern</div><div class="ttdef"><b>Definition:</b> patterns.h:87</div></div>
<div class="ttc" id="anamespacegrppi_html_af7cfe906e20c5a128ecd135706d8a749"><div class="ttname"><a href="namespacegrppi.html#af7cfe906e20c5a128ecd135706d8a749">grppi::apply_deref_increment</a></div><div class="ttdeci">decltype(auto) apply_deref_increment(F &amp;&amp;f, T&lt; Iterators... &gt; &amp;iterators)</div><div class="ttdoc">Applies a callable object to the values obtained from the iterators in a tuple-like object....</div><div class="ttdef"><b>Definition:</b> iterator.h:58</div></div>
<div class="ttc" id="astructgrppi_1_1stage__return__type_html_a6b47b45a7d7664ac97fee040c220eea2"><div class="ttname"><a href="structgrppi_1_1stage__return__type.html#a6b47b45a7d7664ac97fee040c220eea2">grppi::stage_return_type::type</a></div><div class="ttdeci">return_type type</div><div class="ttdef"><b>Definition:</b> patterns.h:98</div></div>
<div class="ttc" id="aworker__pool_8h_html"><div class="ttname"><a href="worker__pool_8h.html">worker_pool.h</a></div></div>
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